Github, GitLab and Google Colab Notebooks


Here you can find some of our , GitLab and Google Colaboratory Notebooks

Derivative-free optimisation by Tom Savage

Reinforcement Learning by Ilya Orson Sandoval

This repository is an example of the methods described in: 

 

 

 

 

 

 

 

 

 

 

 

 

Reinforcement Learning for nonsmooth process optimisation by Panos Petsagkourakis

 (applied to non-smooth systems)

This application is a worked-example using the methods described in 

btbRL

 

 

 

 

 

 

 

Other repositories

Real-time optimisation employing Gaussian processes

This repository is an example of the methods described in 

RTO-Bayesian



 

 

 

 

 

 

 

 

 

 

Gaussian process, Bayesian optimisation, dynamic systems

Google Collab notebook tutorial on 

Google Collab notebook tutorial on 

Google Collab notebook tutorial on 

GPs dynamic and opt